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Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning

Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning

26 May 2024
Neha Kalibhat
Priyatham Kattakinda
Arman Zarei
Nikita Seleznev
Sam Sharpe
Samuel Sharpe
Senthil Kumar
Soheil Feizi
    ViT
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Papers citing "Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning"

21 / 21 papers shown
Title
Groma: Localized Visual Tokenization for Grounding Multimodal Large
  Language Models
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Chuofan Ma
Yi Jiang
Jiannan Wu
Zehuan Yuan
Xiaojuan Qi
VLM
ObjD
47
56
0
19 Apr 2024
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention
Zhuofan Xia
Xuran Pan
Shiji Song
Li Erran Li
Gao Huang
ViT
45
25
0
04 Sep 2023
When and why vision-language models behave like bags-of-words, and what
  to do about it?
When and why vision-language models behave like bags-of-words, and what to do about it?
Mert Yuksekgonul
Federico Bianchi
Pratyusha Kalluri
Dan Jurafsky
James Zou
VLM
CoGe
54
378
0
04 Oct 2022
Panoptic Scene Graph Generation
Panoptic Scene Graph Generation
Jingkang Yang
Yi Zhe Ang
Zujin Guo
Kaiyang Zhou
Wayne Zhang
Ziwei Liu
87
111
0
22 Jul 2022
Vision GNN: An Image is Worth Graph of Nodes
Vision GNN: An Image is Worth Graph of Nodes
Kai Han
Yunhe Wang
Jianyuan Guo
Yehui Tang
Enhua Wu
GNN
3DH
56
361
0
01 Jun 2022
Winoground: Probing Vision and Language Models for Visio-Linguistic
  Compositionality
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
Tristan Thrush
Ryan Jiang
Max Bartolo
Amanpreet Singh
Adina Williams
Douwe Kiela
Candace Ross
CoGe
80
413
0
07 Apr 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLM
BDL
VLM
CLIP
436
4,283
0
28 Jan 2022
FLAVA: A Foundational Language And Vision Alignment Model
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh
Ronghang Hu
Vedanuj Goswami
Guillaume Couairon
Wojciech Galuba
Marcus Rohrbach
Douwe Kiela
CLIP
VLM
64
695
0
08 Dec 2021
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual
  Concepts
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
Yan Zeng
Xinsong Zhang
Hang Li
VLM
CLIP
42
302
0
16 Nov 2021
DPT: Deformable Patch-based Transformer for Visual Recognition
DPT: Deformable Patch-based Transformer for Visual Recognition
Zhiyang Chen
Yousong Zhu
Chaoyang Zhao
Guosheng Hu
Wei Zeng
Jinqiao Wang
Ming Tang
ViT
24
99
0
30 Jul 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
295
21,051
0
25 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
666
28,659
0
26 Feb 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
275
6,657
0
23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
340
40,217
0
22 Oct 2020
VisualBERT: A Simple and Performant Baseline for Vision and Language
VisualBERT: A Simple and Performant Baseline for Vision and Language
Liunian Harold Li
Mark Yatskar
Da Yin
Cho-Jui Hsieh
Kai-Wei Chang
VLM
104
1,939
0
09 Aug 2019
Deep Learning using Rectified Linear Units (ReLU)
Deep Learning using Rectified Linear Units (ReLU)
Abien Fred Agarap
54
3,195
0
22 Mar 2018
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
432
28,795
0
09 Sep 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
327
1,850
0
18 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
293
37,704
0
20 May 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense
  Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
165
5,706
0
23 Feb 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.1K
76,547
0
18 May 2015
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